Azacytidine treatment affects the methylation pattern of genomic and cell-free DNA in uveal melanoma cell lines
Bibliographic record
Abstract
BACKGROUND: Uveal melanoma (UM) is the most common primary intraocular tumour in adults, and approximately 50% of patients will develop metastasis. Epigenetic changes are a major factor in cancer progression. We aimed to determine whether methylation profiles could be altered using a DNA methyltransferase (DNMT) inhibitor in UM cell lines. METHODS: Four primary and metastatic UM cell lines were treated with azacytidine and analysed for cell proliferation, colony formation, and BAP1 protein expression. Genomic and cell-free (cf)DNA methylation were compared. RESULTS: In all cell lines, azacytidine treatment resulted in dose-dependent effects on proliferation, colony formation, and radiosensitivity. Methylation profiling revealed differences in methylation between cell lines according to BAP1 expression. Matched primary and metastatic cell lines showed very similar patterns. Alterations were seen in pathways known to be important in UM progression, such as PI3K/Akt and MAPK signaling, and in pathways involved in cancer progression, such as regulation of stemlike potential, cell motility, and invasion. These changes were maintained in genomic and cell-free DNA. CONCLUSIONS: This data suggests that DNMT inhibitors cause changes in UM cells that are maintained in cfDNA. The results suggest that targeting methylation in UM treatment and monitoring response to treatment using cfDNA methylation could be a valuable tool.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".